The use of significance tests in science has been debated from the invention of these tests until the present time. Apart from theoretical critiques on their appropriateness for evaluating scientific hypotheses, significance tests also receive criticism for inviting misinterpretations. We presented six common misinterpretations to psychologists who work in German universities and found out that they are still surprisingly widespread - even among instructors who teach statistics to psychology students. Although these mi-sinterpretations are well documented among students, until now there has been little research on pedagogical methods to remove them. Rather, they are considered "hard facts" that are impervious to correction. We discuss the r...
The three commentators on my paper agree that statistical tests are often improperly used by researc...
Raymond Hubbard is the Thomas M. Sheehan Distinguished Professor of Marketing in the College of Busi...
This article takes issue with a rather devastating critique of statistical significance testing prop...
The use of significance tests in science has been debated from the invention of these tests until th...
<p>Haller and Krauss <em>(2000)</em> carried out a study on common misinterpretations of tests of si...
Data analysis methods in psychology still emphasize statistical significance testing, despite numero...
Data analysis methods in psychology still emphasize statistical significance testing, despite numero...
Within psychology, significance testing is by far the most frequently used technique for generalisin...
The research methodology literature in recent years has included a full frontal assault on statistic...
The statistical significance test is the dominant data-testing methodology in psychology, yet has ma...
This study analyzes the role of statistical significance testing (SST) in education. Although the ba...
In spite of the widespread use of significance testing in empirical research, its interpretation and...
The Neyman-Pearson theory of hypothesis testing, with the Type I error rate, α, as the significance ...
This paper analyzes common confusions involving basic concepts in statistical hypothesis testing. On...
III Congreso Internacional Virtual de Educación Estadística (CIVEEST), 21-24 febrero de 2019. [w...
The three commentators on my paper agree that statistical tests are often improperly used by researc...
Raymond Hubbard is the Thomas M. Sheehan Distinguished Professor of Marketing in the College of Busi...
This article takes issue with a rather devastating critique of statistical significance testing prop...
The use of significance tests in science has been debated from the invention of these tests until th...
<p>Haller and Krauss <em>(2000)</em> carried out a study on common misinterpretations of tests of si...
Data analysis methods in psychology still emphasize statistical significance testing, despite numero...
Data analysis methods in psychology still emphasize statistical significance testing, despite numero...
Within psychology, significance testing is by far the most frequently used technique for generalisin...
The research methodology literature in recent years has included a full frontal assault on statistic...
The statistical significance test is the dominant data-testing methodology in psychology, yet has ma...
This study analyzes the role of statistical significance testing (SST) in education. Although the ba...
In spite of the widespread use of significance testing in empirical research, its interpretation and...
The Neyman-Pearson theory of hypothesis testing, with the Type I error rate, α, as the significance ...
This paper analyzes common confusions involving basic concepts in statistical hypothesis testing. On...
III Congreso Internacional Virtual de Educación Estadística (CIVEEST), 21-24 febrero de 2019. [w...
The three commentators on my paper agree that statistical tests are often improperly used by researc...
Raymond Hubbard is the Thomas M. Sheehan Distinguished Professor of Marketing in the College of Busi...
This article takes issue with a rather devastating critique of statistical significance testing prop...